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Results #1-#10 of 23
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Match Score:
100
Byline:
A. Garcia
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Numerical Methods for Physics is an upper-division/graduate level textbook on computational physics. The book's website provides errata, additional exercises, and information on the…
  
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A. Bartrlett, T. Chartier, A. Langville, and T. Rankin, J. Online Math. & Its Appl., 8 (May 2008) (2008).
The "Integer Programming Model for the Sudoku Problem" article in the The Journal of Online Mathematics and Its Applications uses an EJS binary integer linear program to solve this…
  
Match Score:
100
Byline:
W. Christian
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Chapter 4 explores the behavior of oscillatory systems, including the simple harmonic oscillator, a simple pendulum, and electrical circuits and we introduce the concept of phase…
  
Match Score:
100
Byline:
W. Christian
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Chapter 3 discusses several numerical methods needed to simulate the motion of particles using Newton's laws and introduces the Ordinary Differential Equation (ODE) editor that makes…
  
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100
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W. Christian
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Chapter 2 introduces Java syntax and EJS elements in the context of simulating the motion of falling particles near the Earth's surface. A simple Euler algorithm for solving…
Solving Ordinary Differential Equations  [ Book Section ]
  
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100
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W. Christian and F. Esquembre
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EJS and OSP examples to accompany the Solving Ordinary Differential Equations chapter in the Handbook of Dynamical Systems edited by Paul Fishwick. Dynamic models are described in…
Function Visualizer Model  [ Computer Program ]
  
Match Score:
100
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W. Christian and F. Esquembre
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The Function Visualizer Model displays the graph of a function f(x) with arbitrary parameters.  The function can contain polynomial, trigonometric, and exponential expressions as…
  
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100
Byline:
W. Christian
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The Linear Congruent Number Generator Model generates a sequence of integers x[i] over the interval [0, m-1] by the recurrence relation x[i+1] = (a*x[i]+c) mod m where the…
Scalar Field Gradient Model  [ Computer Program ]
  
Match Score:
100
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W. Christian
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The Scalar Field Gradient Model displays the gradient of a scalar field using a numerical approximation to the partial derivatives. This simple teaching model also shows how to…
The trouble with numerical derivatives  [ Computer Program ]
  
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100
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R. Gass
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The derivative of a function is always less smooth than the function. Because of this any noise in our data is magnified when we differentiate it.
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Results #1-#10 of 23